For Mathematicians, Engineers, Economists and the Behavioural and Management Sciences
Author: Henry R. Neave
Category: Business & Economics
For three decades, Henry Neave’s Statistics Tables has been the gold standard for all students taking an introductory statistical methods course as part of their wider degree in a host of disciplines including mathematics, economics, business and management, geography and psychology. The period has seen a large increase in the level of mathematics and statistics required to achieve these qualifications and Statistics Tables has helped several generations of students meet their goals. All the features of the first edition are retained including the full range of best-known standard statistical techniques, as well as some lesser-known methods that can be hard to track down elsewhere. The explanatory introductions to each section have been updated and the second edition benefits from the inclusion of a valuable and comprehensive new section on an approach to simple but powerful investigation of process data. This will help the book continue in its position as the prime statistical reference for all students of mathematics, engineering and the social sciences, and everyone who needs effective methods for analysing data.
This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, Elementary Statistics Tables is thus not just a reference book but a positive and user-friendly teaching and learning aid. The new edition contains a new and comprehensive "teach-yourself" section on a simple but powerful approach, now well-known in parts of industry but less so in academia, to analysing and interpreting process data. This is a particularly valuable enabler to personnel who are not qualified in traditional statistical methods to actively contribute to quality-improvement projects. The second edition also includes a much-improved glossary of symbols and notation.
Release on 2000-03-29 | by Stephen Kokoska,Daniel Zwillinger
Author: Stephen Kokoska,Daniel Zwillinger
Pubpsher: CRC Press
Users of statistics in their professional lives and statistics students will welcome this concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulas typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control. For each type of distribution the authors supply: ? definitions ? tables ? relationships with other distributions, including limiting forms ? statistical parameters, such as variance and generating functions ? a list of common problems involving the distribution Standard Probability and Statistics: Tables and Formulae also includes discussion of common statistical problems and supplies examples that show readers how to use the tables and formulae to get the solutions they need. With this handy reference, the focus can shift from rote learning and memorization to the concepts needed to use statistics efficiently and effectively.
Release on 1999-12-27 | by Daniel Zwillinger,Stephen Kokoska
Author: Daniel Zwillinger,Stephen Kokoska
Pubpsher: CRC Press
Whether you are a statistician, engineer, or businessperson, you need statistics. You want to be able to easily reference tables, find formulas, and know how to use them so you can extract information from data without getting bogged down by advanced statistical methods. Your goal is to determine the appropriate statistical procedures and interpret the results. Standard Probability and Statistics: Tables and Formulae provides the tools you need to do just that. Logically organized and reaching far beyond a mere catalog, a textual description accompanies each entry- most include an example. The topics addressed are directly applicable to modern business and engineering as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. The result is an accessible, example-oriented handbook that supplies the basic principles, the most commonly used values, and the information to make them work for you. It is easy to fill a statistics reference with hundreds of pages of tables - sometimes for just one test. This handbook is much more. With topics ranging from classical statistics to modern applications, Standard Probability and Statistics fills the need for an up-to-date, authoritative statistics reference.
Release on 1995-08-03 | by D. V. Lindley,W. F. Scott
Author: D. V. Lindley,W. F. Scott
Pubpsher: Cambridge University Press
The second edition of this very successful and authoritative set of tables still benefits from clear typesetting, which makes the figures easy to read and use. It has, however, been improved by the addition of new tables that provide Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. Great care has been taken to ensure that it is clear just what is being tabulated and how the values may be used; the tables are generally capable of easy interpolation. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences. It will be an essential aid for teachers, researchers and students in those subjects where statistical analysis is not wholly carried out by computers.
Normal distribution; Students distribution; Chi-square distribution; Distribution and multiple comporison; Noncentral and tolerance limits; Range, Studentized range, and mean square successive difference; Order statistics from the normal; Distribution; Multivariate normal and distributions; Logistic, poisson, and binomial distribution; Normporametric toreance limits; Wilcoxon (Mann-Whitney) tests; Sign, runs and quadrant tests; Rank correlation; Nonparametric analysis of variance; Kolmagoron-smirnov statistics; Gramer-von mises, and random diversio of an interval distribution; Matching and multinomial distributions; hypergeometric distribution; Product moment correlation coefficient; Orthogonal polynomials, random, numbers, and constants.
This is a print on demand edition of a hard to find publication. Examines offices that provide representation for indigent defendants through a salaried staff of full-time or part-time attorneys employed as direct gov¿t. employees or through a public, nonprofit org. Public defender (PD) offices are categorized according to whether they are funded and admin. at the state gov¿t. level, the county level, or through a combination of state and county gov¿t. Topics include PD office staffing, caseloads, expenditures, and standards and guidelines used by the nearly 1,000 PD offices across 49 states and the D.C. In 2007, 964 PD offices across the nation received nearly 6 million indigent defense cases. Misdemeanor cases accounted for about 40% of all cases received by PD offices. Extensive charts and tables.